Triple

T5889638
Position Surface form Disambiguated ID Type / Status
Subject University College Cork E130954 entity
Predicate alsoKnownAs P39 FINISHED
Object UCC E552299 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: UCC | Statement: [University College Cork, alsoKnownAs, UCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UCC
Context triple: [University College Cork, alsoKnownAs, UCC]
  • A. UCC
    UCC is an international copyright treaty established under UNESCO to provide a standardized framework for protecting literary, artistic, and scientific works across participating countries.
  • B. UCC
    UCC is a mainline Protestant Christian denomination in the United States known for its progressive theology and strong emphasis on social justice and inclusivity.
  • C. UCC chosen
    UCC is a major Irish public research university located in Cork, renowned for its strong academic programs and historic campus.
  • D. UCA
    UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
  • E. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036b0993081908c239dd2901e6bbe completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bff9ecdc819098823b003cec66a2 completed March 23, 2026, 4:22 a.m.
Created at: March 22, 2026, 3:58 p.m.